Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	23699
Missing cells	101441
Missing cells (%)	18.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.2 MiB
Average record size in memory	364.3 B

Variable types

Numeric	16
Categorical	4
Boolean	3

Alerts

`first_day_exposition` has a high cardinality: 1491 distinct values	High cardinality
`locality_name` has a high cardinality: 364 distinct values	High cardinality
`last_price` is highly correlated with `total_area` and 4 other fields	High correlation
`total_area` is highly correlated with `last_price` and 3 other fields	High correlation
`rooms` is highly correlated with `last_price` and 2 other fields	High correlation
`ceiling_height` is highly correlated with `last_price` and 1 other fields	High correlation
`floors_total` is highly correlated with `floor`	High correlation
`living_area` is highly correlated with `last_price` and 2 other fields	High correlation
`floor` is highly correlated with `floors_total`	High correlation
`kitchen_area` is highly correlated with `last_price` and 2 other fields	High correlation
`last_price` is highly correlated with `total_area` and 2 other fields	High correlation
`total_area` is highly correlated with `last_price` and 3 other fields	High correlation
`rooms` is highly correlated with `total_area` and 1 other fields	High correlation
`floors_total` is highly correlated with `floor`	High correlation
`living_area` is highly correlated with `last_price` and 2 other fields	High correlation
`floor` is highly correlated with `floors_total`	High correlation
`kitchen_area` is highly correlated with `last_price` and 1 other fields	High correlation
`last_price` is highly correlated with `total_area`	High correlation
`total_area` is highly correlated with `last_price` and 2 other fields	High correlation
`rooms` is highly correlated with `total_area` and 1 other fields	High correlation
`living_area` is highly correlated with `total_area` and 1 other fields	High correlation
`last_price` is highly correlated with `total_area` and 2 other fields	High correlation
`total_area` is highly correlated with `last_price` and 3 other fields	High correlation
`rooms` is highly correlated with `last_price` and 3 other fields	High correlation
`floors_total` is highly correlated with `floor`	High correlation
`living_area` is highly correlated with `last_price` and 3 other fields	High correlation
`floor` is highly correlated with `floors_total`	High correlation
`kitchen_area` is highly correlated with `total_area` and 2 other fields	High correlation
`airports_nearest` is highly correlated with `cityCenters_nearest`	High correlation
`cityCenters_nearest` is highly correlated with `airports_nearest`	High correlation
`parks_around3000` is highly correlated with `parks_nearest`	High correlation
`parks_nearest` is highly correlated with `parks_around3000`	High correlation
`ceiling_height` has 9195 (38.8%) missing values	Missing
`living_area` has 1903 (8.0%) missing values	Missing
`is_apartment` has 20924 (88.3%) missing values	Missing
`kitchen_area` has 2278 (9.6%) missing values	Missing
`balcony` has 11519 (48.6%) missing values	Missing
`airports_nearest` has 5542 (23.4%) missing values	Missing
`cityCenters_nearest` has 5519 (23.3%) missing values	Missing
`parks_around3000` has 5518 (23.3%) missing values	Missing
`parks_nearest` has 15620 (65.9%) missing values	Missing
`ponds_around3000` has 5518 (23.3%) missing values	Missing
`ponds_nearest` has 14589 (61.6%) missing values	Missing
`days_exposition` has 3181 (13.4%) missing values	Missing
`last_price` is highly skewed (γ1 = 25.80427519)	Skewed
`ceiling_height` is highly skewed (γ1 = 41.70907732)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`total_images` has 1059 (4.5%) zeros	Zeros
`balcony` has 3758 (15.9%) zeros	Zeros

Reproduction

Analysis started	2022-04-16 19:42:09.130055
Analysis finished	2022-04-16 19:43:02.950568
Duration	53.82 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	23699
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11849

Minimum	0
Maximum	23698
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1184.9
Q1	5924.5
median	11849
Q3	17773.5
95-th percentile	22513.1
Maximum	23698
Range	23698
Interquartile range (IQR)	11849

Descriptive statistics

Standard deviation	6841.456351
Coefficient of variation (CV)	0.5773868133
Kurtosis	-1.2
Mean	11849
Median Absolute Deviation (MAD)	5925
Skewness	0
Sum	280809451
Variance	46805525
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
661	1	< 0.1%
19084	1	< 0.1%
17037	1	< 0.1%
23182	1	< 0.1%
21135	1	< 0.1%
10896	1	< 0.1%
8849	1	< 0.1%
14994	1	< 0.1%
12947	1	< 0.1%
Other values (23689)	23689	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
23698	1	< 0.1%
23697	1	< 0.1%
23696	1	< 0.1%
23695	1	< 0.1%
23694	1	< 0.1%
23693	1	< 0.1%
23692	1	< 0.1%
23691	1	< 0.1%
23690	1	< 0.1%
23689	1	< 0.1%

total_images
Real number (ℝ_≥0)

ZEROS

Distinct	38
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.858475041

Minimum	0
Maximum	50
Zeros	1059
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	9
Q3	14
95-th percentile	20
Maximum	50
Range	50
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.682528956
Coefficient of variation (CV)	0.5764105435
Kurtosis	-0.3359698028
Mean	9.858475041
Median Absolute Deviation (MAD)	4
Skewness	0.2585928567
Sum	233636
Variance	32.29113534
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
10	1798	7.6%
9	1725	7.3%
20	1694	7.1%
8	1585	6.7%
7	1521	6.4%
6	1482	6.3%
11	1362	5.7%
5	1301	5.5%
12	1225	5.2%
0	1059	4.5%
Other values (28)	8947	37.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1059	4.5%
1	872	3.7%
2	640	2.7%
3	769	3.2%
4	986	4.2%
5	1301	5.5%
6	1482	6.3%
7	1521	6.4%
8	1585	6.7%
9	1725	7.3%

Value	Count	Frequency (%)
50	3	< 0.1%
42	1	< 0.1%
39	1	< 0.1%
37	1	< 0.1%
35	2	< 0.1%
32	4	< 0.1%
31	2	< 0.1%
30	2	< 0.1%
29	3	< 0.1%
28	4	< 0.1%

last_price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	2978
Distinct (%)	12.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6541548.772

Minimum	12190
Maximum	763000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	12190
5-th percentile	1870000
Q1	3400000
median	4650000
Q3	6800000
95-th percentile	15300000
Maximum	763000000
Range	762987810
Interquartile range (IQR)	3400000

Descriptive statistics

Standard deviation	10887013.27
Coefficient of variation (CV)	1.664286799
Kurtosis	1277.682584
Mean	6541548.772
Median Absolute Deviation (MAD)	1500000
Skewness	25.80427519
Sum	1.550281643 × 10¹¹
Variance	1.185270579 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4500000	342	1.4%
3500000	291	1.2%
4000000	260	1.1%
4300000	260	1.1%
4200000	259	1.1%
3600000	257	1.1%
3300000	244	1.0%
3800000	240	1.0%
3200000	238	1.0%
3700000	234	1.0%
Other values (2968)	21074	88.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12190	1	< 0.1%
430000	2	< 0.1%
440000	1	< 0.1%
450000	4	< 0.1%
470000	3	< 0.1%
480000	1	< 0.1%
490000	2	< 0.1%
500000	4	< 0.1%
520000	1	< 0.1%
530000	1	< 0.1%

Value	Count	Frequency (%)
763000000	1	< 0.1%
420000000	1	< 0.1%
401300000	1	< 0.1%
330000000	1	< 0.1%
300000000	1	< 0.1%
289238400	1	< 0.1%
245000000	1	< 0.1%
240000000	1	< 0.1%
230000000	1	< 0.1%
190870000	1	< 0.1%

total_area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2182
Distinct (%)	9.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	60.348651

Minimum	12
Maximum	900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	12
5-th percentile	31
Q1	40
median	52
Q3	69.9
95-th percentile	116
Maximum	900
Range	888
Interquartile range (IQR)	29.9

Descriptive statistics

Standard deviation	35.6540829
Coefficient of variation (CV)	0.5908016553
Kurtosis	47.52149263
Mean	60.348651
Median Absolute Deviation (MAD)	13.9
Skewness	4.768597224
Sum	1430202.68
Variance	1271.213628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	419	1.8%
42	383	1.6%
60	347	1.5%
31	346	1.5%
44	345	1.5%
40	315	1.3%
43	301	1.3%
32	289	1.2%
46	282	1.2%
36	280	1.2%
Other values (2172)	20392	86.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12	1	< 0.1%
13	3	< 0.1%
13.2	1	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
15.5	1	< 0.1%
16	1	< 0.1%
17	2	< 0.1%
17.2	1	< 0.1%
17.6	1	< 0.1%

Value	Count	Frequency (%)
900	1	< 0.1%
631.2	1	< 0.1%
631	1	< 0.1%
618	1	< 0.1%
590	1	< 0.1%
517	1	< 0.1%
507	1	< 0.1%
500	2	< 0.1%
495	1	< 0.1%
494.1	1	< 0.1%

first_day_exposition
Categorical

HIGH CARDINALITY

Distinct	1491
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

2018-02-01T00:00:00	368
2017-11-10T00:00:00	240
2017-10-13T00:00:00	124
2017-09-27T00:00:00	111
2018-03-26T00:00:00	97
Other values (1486)	22759

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	118 ?
Unique (%)	0.5%

Sample

1st row	2019-03-07T00:00:00
2nd row	2018-12-04T00:00:00
3rd row	2015-08-20T00:00:00
4th row	2015-07-24T00:00:00
5th row	2018-06-19T00:00:00

Common Values

Value	Count	Frequency (%)
2018-02-01T00:00:00	368	1.6%
2017-11-10T00:00:00	240	1.0%
2017-10-13T00:00:00	124	0.5%
2017-09-27T00:00:00	111	0.5%
2018-03-26T00:00:00	97	0.4%
2018-07-10T00:00:00	93	0.4%
2017-09-28T00:00:00	74	0.3%
2018-03-06T00:00:00	72	0.3%
2018-02-08T00:00:00	71	0.3%
2018-02-20T00:00:00	70	0.3%
Other values (1481)	22379	94.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-02-01t00:00:00	368	1.6%
2017-11-10t00:00:00	240	1.0%
2017-10-13t00:00:00	124	0.5%
2017-09-27t00:00:00	111	0.5%
2018-03-26t00:00:00	97	0.4%
2018-07-10t00:00:00	93	0.4%
2017-09-28t00:00:00	74	0.3%
2018-03-06t00:00:00	72	0.3%
2018-02-08t00:00:00	71	0.3%
2018-02-20t00:00:00	70	0.3%
Other values (1481)	22379	94.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

rooms
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.070635892

Minimum	0
Maximum	19
Zeros	197
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	19
Range	19
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.078404851
Coefficient of variation (CV)	0.5208085377
Kurtosis	8.689136218
Mean	2.070635892
Median Absolute Deviation (MAD)	1
Skewness	1.524982284
Sum	49072
Variance	1.162957022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	8047	34.0%
2	7940	33.5%
3	5814	24.5%
4	1180	5.0%
5	326	1.4%
0	197	0.8%
6	105	0.4%
7	59	0.2%
8	12	0.1%
9	8	< 0.1%
Other values (7)	11	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	197	0.8%
1	8047	34.0%
2	7940	33.5%
3	5814	24.5%
4	1180	5.0%
5	326	1.4%
6	105	0.4%
7	59	0.2%
8	12	0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
19	1	< 0.1%
16	1	< 0.1%
15	1	< 0.1%
14	2	< 0.1%
12	1	< 0.1%
11	2	< 0.1%
10	3	< 0.1%
9	8	< 0.1%
8	12	0.1%
7	59	0.2%

ceiling_height
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	183
Distinct (%)	1.3%
Missing	9195
Missing (%)	38.8%
Infinite	0
Infinite (%)	0.0%
Mean	2.771498897

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2.5
Q1	2.52
median	2.65
Q3	2.8
95-th percentile	3.3
Maximum	100
Range	99
Interquartile range (IQR)	0.28

Descriptive statistics

Standard deviation	1.261055831
Coefficient of variation (CV)	0.4550085993
Kurtosis	2627.139521
Mean	2.771498897
Median Absolute Deviation (MAD)	0.15
Skewness	41.70907732
Sum	40197.82
Variance	1.590261809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.5	3515	14.8%
2.6	1646	6.9%
2.7	1574	6.6%
3	1112	4.7%
2.8	993	4.2%
2.55	980	4.1%
2.75	910	3.8%
2.65	676	2.9%
3.2	277	1.2%
3.1	203	0.9%
Other values (173)	2618	11.0%
(Missing)	9195	38.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
1.2	1	< 0.1%
1.75	1	< 0.1%
2	11	< 0.1%
2.2	1	< 0.1%
2.25	1	< 0.1%
2.3	4	< 0.1%
2.34	1	< 0.1%
2.4	23	0.1%
2.45	15	0.1%

Value	Count	Frequency (%)
100	1	< 0.1%
32	2	< 0.1%
27.5	1	< 0.1%
27	8	< 0.1%
26	1	< 0.1%
25	7	< 0.1%
24	1	< 0.1%
22.6	1	< 0.1%
20	1	< 0.1%
14	1	< 0.1%

floors_total
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	0.2%
Missing	86
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	10.67382374

Minimum	1
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	9
Q3	16
95-th percentile	25
Maximum	60
Range	59
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	6.597172989
Coefficient of variation (CV)	0.6180702576
Kurtosis	0.04464170398
Mean	10.67382374
Median Absolute Deviation (MAD)	4
Skewness	0.9402749458
Sum	252041
Variance	43.52269145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
5	5788	24.4%
9	3761	15.9%
16	1376	5.8%
12	1362	5.7%
4	1200	5.1%
10	1174	5.0%
25	1075	4.5%
6	914	3.9%
17	833	3.5%
3	668	2.8%
Other values (26)	5462	23.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	25	0.1%
2	383	1.6%
3	668	2.8%
4	1200	5.1%
5	5788	24.4%
6	914	3.9%
7	592	2.5%
8	390	1.6%
9	3761	15.9%
10	1174	5.0%

Value	Count	Frequency (%)
60	1	< 0.1%
52	1	< 0.1%
37	1	< 0.1%
36	3	< 0.1%
35	24	0.1%
34	1	< 0.1%
33	1	< 0.1%
29	1	< 0.1%
28	21	0.1%
27	164	0.7%

living_area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1782
Distinct (%)	8.2%
Missing	1903
Missing (%)	8.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.45785243

Minimum	2
Maximum	409.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	2
5-th percentile	15.2
Q1	18.6
median	30
Q3	42.3
95-th percentile	69
Maximum	409.7
Range	407.7
Interquartile range (IQR)	23.7

Descriptive statistics

Standard deviation	22.03044522
Coefficient of variation (CV)	0.6393446969
Kurtosis	31.36088975
Mean	34.45785243
Median Absolute Deviation (MAD)	11.8
Skewness	3.909429763
Sum	751043.3515
Variance	485.3405164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	882	3.7%
17	675	2.8%
30	598	2.5%
16	486	2.1%
20	481	2.0%
28	423	1.8%
31	381	1.6%
19	329	1.4%
32	320	1.4%
29	319	1.3%
Other values (1772)	16902	71.3%
(Missing)	1903	8.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	2	< 0.1%
3	2	< 0.1%
5	1	< 0.1%
5.4	1	< 0.1%
6	1	< 0.1%
6.5	1	< 0.1%
8	2	< 0.1%
8.3	1	< 0.1%
8.4	1	< 0.1%
8.5	1	< 0.1%

Value	Count	Frequency (%)
409.7	1	< 0.1%
409	1	< 0.1%
347.5	1	< 0.1%
332	1	< 0.1%
322.3	1	< 0.1%
312.5	1	< 0.1%
301.5	1	< 0.1%
300	1	< 0.1%
279.6	1	< 0.1%
274	1	< 0.1%

floor
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.892358327

Minimum	1
Maximum	33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	8
95-th percentile	16
Maximum	33
Range	32
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.885249206
Coefficient of variation (CV)	0.8290821662
Kurtosis	2.32865486
Mean	5.892358327
Median Absolute Deviation (MAD)	2
Skewness	1.5531408
Sum	139643
Variance	23.86565981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
2	3368	14.2%
3	3073	13.0%
1	2917	12.3%
4	2804	11.8%
5	2621	11.1%
6	1305	5.5%
7	1218	5.1%
8	1083	4.6%
9	1051	4.4%
10	687	2.9%
Other values (23)	3572	15.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2917	12.3%
2	3368	14.2%
3	3073	13.0%
4	2804	11.8%
5	2621	11.1%
6	1305	5.5%
7	1218	5.1%
8	1083	4.6%
9	1051	4.4%
10	687	2.9%

Value	Count	Frequency (%)
33	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
27	10	< 0.1%
26	24	0.1%
25	46	0.2%
24	63	0.3%

is_apartment
Boolean

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	20924
Missing (%)	88.3%
Memory size	740.9 KiB

False	2725
True	50
(Missing)	20924

Common Values
Chart

Value	Count	Frequency (%)
False	2725	11.5%
True	50	0.2%
(Missing)	20924	88.3%

studio
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.3 KiB

False	23550
True	149

Common Values
Chart

Value	Count	Frequency (%)
False	23550	99.4%
True	149	0.6%

open_plan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.3 KiB

False	23632
True	67

Common Values
Chart

Value	Count	Frequency (%)
False	23632	99.7%
True	67	0.3%

kitchen_area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	971
Distinct (%)	4.5%
Missing	2278
Missing (%)	9.6%
Infinite	0
Infinite (%)	0.0%
Mean	10.5698072

Minimum	1.3
Maximum	112
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1.3
5-th percentile	5.5
Q1	7
median	9.1
Q3	12
95-th percentile	20
Maximum	112
Range	110.7
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.905437934
Coefficient of variation (CV)	0.5587081981
Kurtosis	33.7611296
Mean	10.5698072
Median Absolute Deviation (MAD)	2.1
Skewness	4.209631534
Sum	226415.84
Variance	34.87419719
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	1300	5.5%
10	1262	5.3%
8	1110	4.7%
9	1101	4.6%
7	1062	4.5%
11	797	3.4%
12	662	2.8%
8.5	415	1.8%
5.5	400	1.7%
14	381	1.6%
Other values (961)	12931	54.6%
(Missing)	2278	9.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.3	1	< 0.1%
2	7	< 0.1%
2.3	1	< 0.1%
2.4	1	< 0.1%
2.89	1	< 0.1%
3	7	< 0.1%
3.2	1	< 0.1%
3.3	1	< 0.1%
3.4	1	< 0.1%
3.5	4	< 0.1%

Value	Count	Frequency (%)
112	1	< 0.1%
107	1	< 0.1%
100.7	1	< 0.1%
100	1	< 0.1%
93.2	1	< 0.1%
93	1	< 0.1%
87.2	1	< 0.1%
77	2	< 0.1%
75	1	< 0.1%
72	1	< 0.1%

balcony
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	11519
Missing (%)	48.6%
Infinite	0
Infinite (%)	0.0%
Mean	1.150082102

Minimum	0
Maximum	5
Zeros	3758
Zeros (%)	15.9%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.071300393
Coefficient of variation (CV)	0.9314990568
Kurtosis	2.505785898
Mean	1.150082102
Median Absolute Deviation (MAD)	1
Skewness	1.243099425
Sum	14008
Variance	1.147684532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	4195	17.7%
0	3758	15.9%
2	3659	15.4%
5	304	1.3%
4	183	0.8%
3	81	0.3%
(Missing)	11519	48.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3758	15.9%
1	4195	17.7%
2	3659	15.4%
3	81	0.3%
4	183	0.8%
5	304	1.3%

Value	Count	Frequency (%)
5	304	1.3%
4	183	0.8%
3	81	0.3%
2	3659	15.4%
1	4195	17.7%
0	3758	15.9%

locality_name
Categorical

HIGH CARDINALITY

Distinct	364
Distinct (%)	1.5%
Missing	49
Missing (%)	0.2%
Memory size	2.5 MiB

Санкт-Петербург	15721
посёлок Мурино	522
посёлок Шушары	440
Всеволожск	398
Пушкин	369
Other values (359)	6200

Length

Max length	55
Median length	15
Mean length	14.22169133
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	104 ?
Unique (%)	0.4%

Sample

1st row	Санкт-Петербург
2nd row	посёлок Шушары
3rd row	Санкт-Петербург
4th row	Санкт-Петербург
5th row	Санкт-Петербург

Common Values

Value	Count	Frequency (%)
Санкт-Петербург	15721	66.3%
посёлок Мурино	522	2.2%
посёлок Шушары	440	1.9%
Всеволожск	398	1.7%
Пушкин	369	1.6%
Колпино	338	1.4%
посёлок Парголово	327	1.4%
Гатчина	307	1.3%
деревня Кудрово	299	1.3%
Выборг	237	1.0%
Other values (354)	4692	19.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
санкт-петербург	15721	54.5%
посёлок	2108	7.3%
деревня	945	3.3%
мурино	590	2.0%
поселок	552	1.9%
кудрово	472	1.6%
шушары	440	1.5%
всеволожск	398	1.4%
пушкин	369	1.3%
типа	363	1.3%
Other values (330)	6913	23.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

airports_nearest
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	8275
Distinct (%)	45.6%
Missing	5542
Missing (%)	23.4%
Infinite	0
Infinite (%)	0.0%
Mean	28793.67219

Minimum	0
Maximum	84869
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	0
5-th percentile	11557.4
Q1	18585
median	26726
Q3	37273
95-th percentile	51340
Maximum	84869
Range	84869
Interquartile range (IQR)	18688

Descriptive statistics

Standard deviation	12630.88062
Coefficient of variation (CV)	0.4386686261
Kurtosis	-0.2883133015
Mean	28793.67219
Median Absolute Deviation (MAD)	9265
Skewness	0.5409568907
Sum	522806706
Variance	159539145.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37434	61	0.3%
21928	32	0.1%
39946	30	0.1%
44870	30	0.1%
37407	27	0.1%
18732	27	0.1%
39140	26	0.1%
31744	25	0.1%
37412	24	0.1%
19499	23	0.1%
Other values (8265)	17852	75.3%
(Missing)	5542	23.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
6450	2	< 0.1%
6914	1	< 0.1%
6949	1	< 0.1%
6989	6	< 0.1%
6992	1	< 0.1%
6995	2	< 0.1%
7002	1	< 0.1%
7016	4	< 0.1%
7019	3	< 0.1%

Value	Count	Frequency (%)
84869	1	< 0.1%
84853	1	< 0.1%
84665	1	< 0.1%
84006	1	< 0.1%
83758	1	< 0.1%
81607	1	< 0.1%
81355	1	< 0.1%
78527	1	< 0.1%
75646	1	< 0.1%
73827	1	< 0.1%

cityCenters_nearest
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	7642
Distinct (%)	42.0%
Missing	5519
Missing (%)	23.3%
Infinite	0
Infinite (%)	0.0%
Mean	14191.27783

Minimum	181
Maximum	65968
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	181
5-th percentile	3541
Q1	9238
median	13098.5
Q3	16293
95-th percentile	31671.6
Maximum	65968
Range	65787
Interquartile range (IQR)	7055

Descriptive statistics

Standard deviation	8608.38621
Coefficient of variation (CV)	0.6065969754
Kurtosis	4.360911917
Mean	14191.27783
Median Absolute Deviation (MAD)	3483.5
Skewness	1.674916144
Sum	257997431
Variance	74104313.14
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8460	61	0.3%
20802	32	0.1%
10720	30	0.1%
8434	27	0.1%
20444	27	0.1%
8370	26	0.1%
10364	26	0.1%
4836	25	0.1%
17369	24	0.1%
13845	23	0.1%
Other values (7632)	17879	75.4%
(Missing)	5519	23.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
181	1	< 0.1%
208	1	< 0.1%
215	1	< 0.1%
287	1	< 0.1%
291	1	< 0.1%
318	8	< 0.1%
329	1	< 0.1%
376	1	< 0.1%
387	1	< 0.1%
392	1	< 0.1%

Value	Count	Frequency (%)
65968	1	< 0.1%
65952	1	< 0.1%
65764	1	< 0.1%
65105	1	< 0.1%
64857	1	< 0.1%
62706	1	< 0.1%
62454	1	< 0.1%
61495	1	< 0.1%
60223	1	< 0.1%
59626	1	< 0.1%

parks_around3000
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	5518
Missing (%)	23.3%
Memory size	1.3 MiB

0.0	10106
1.0	5681
2.0	1747
3.0	647

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	10106	42.6%
1.0	5681	24.0%
2.0	1747	7.4%
3.0	647	2.7%
(Missing)	5518	23.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	10106	55.6%
1.0	5681	31.2%
2.0	1747	9.6%
3.0	647	3.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

parks_nearest
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	995
Distinct (%)	12.3%
Missing	15620
Missing (%)	65.9%
Infinite	0
Infinite (%)	0.0%
Mean	490.804555

Minimum	1
Maximum	3190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1
5-th percentile	95.9
Q1	288
median	455
Q3	612
95-th percentile	968
Maximum	3190
Range	3189
Interquartile range (IQR)	324

Descriptive statistics

Standard deviation	342.3179949
Coefficient of variation (CV)	0.6974629542
Kurtosis	12.21768678
Mean	490.804555
Median Absolute Deviation (MAD)	163
Skewness	2.717637751
Sum	3965210
Variance	117181.6096
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
441	67	0.3%
392	41	0.2%
173	41	0.2%
456	40	0.2%
471	32	0.1%
2102	30	0.1%
541	29	0.1%
458	29	0.1%
447	28	0.1%
288	28	0.1%
Other values (985)	7714	32.5%
(Missing)	15620	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
7	1	< 0.1%
9	2	< 0.1%
10	7	< 0.1%
11	5	< 0.1%
12	1	< 0.1%
13	6	< 0.1%
14	1	< 0.1%

Value	Count	Frequency (%)
3190	2	< 0.1%
3064	1	< 0.1%
3013	1	< 0.1%
2984	1	< 0.1%
2905	1	< 0.1%
2888	1	< 0.1%
2880	1	< 0.1%
2847	1	< 0.1%
2768	1	< 0.1%
2747	1	< 0.1%

ponds_around3000
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	5518
Missing (%)	23.3%
Memory size	1.3 MiB

0.0	9071
1.0	5717
2.0	1892
3.0	1501

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	0.0
3rd row	2.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	9071	38.3%
1.0	5717	24.1%
2.0	1892	8.0%
3.0	1501	6.3%
(Missing)	5518	23.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	9071	49.9%
1.0	5717	31.4%
2.0	1892	10.4%
3.0	1501	8.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ponds_nearest
Real number (ℝ_≥0)

MISSING

Distinct	1096
Distinct (%)	12.0%
Missing	14589
Missing (%)	61.6%
Infinite	0
Infinite (%)	0.0%
Mean	517.9809001

Minimum	13
Maximum	1344
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	13
5-th percentile	93
Q1	294
median	502
Q3	729
95-th percentile	976.55
Maximum	1344
Range	1331
Interquartile range (IQR)	435

Descriptive statistics

Standard deviation	277.7206427
Coefficient of variation (CV)	0.5361600063
Kurtosis	-0.7272670503
Mean	517.9809001
Median Absolute Deviation (MAD)	215
Skewness	0.2220908711
Sum	4718806
Variance	77128.75537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
427	70	0.3%
454	41	0.2%
153	40	0.2%
433	39	0.2%
564	37	0.2%
474	37	0.2%
303	36	0.2%
440	33	0.1%
359	31	0.1%
733	30	0.1%
Other values (1086)	8716	36.8%
(Missing)	14589	61.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	2	< 0.1%
16	8	< 0.1%
19	4	< 0.1%
20	5	< 0.1%
22	7	< 0.1%
23	1	< 0.1%
24	7	< 0.1%
25	1	< 0.1%
26	3	< 0.1%
27	3	< 0.1%

Value	Count	Frequency (%)
1344	1	< 0.1%
1341	2	< 0.1%
1337	1	< 0.1%
1313	1	< 0.1%
1299	1	< 0.1%
1293	1	< 0.1%
1278	2	< 0.1%
1275	1	< 0.1%
1271	3	< 0.1%
1270	1	< 0.1%

days_exposition
Real number (ℝ_≥0)

MISSING

Distinct	1141
Distinct (%)	5.6%
Missing	3181
Missing (%)	13.4%
Infinite	0
Infinite (%)	0.0%
Mean	180.8886344

Minimum	1
Maximum	1580
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	185.3 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	45
median	95
Q3	232
95-th percentile	647
Maximum	1580
Range	1579
Interquartile range (IQR)	187

Descriptive statistics

Standard deviation	219.7279882
Coefficient of variation (CV)	1.214714174
Kurtosis	6.27662008
Mean	180.8886344
Median Absolute Deviation (MAD)	68
Skewness	2.310052616
Sum	3711473
Variance	48280.38878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	880	3.7%
60	538	2.3%
7	234	1.0%
30	208	0.9%
90	204	0.9%
4	176	0.7%
3	158	0.7%
5	152	0.6%
14	148	0.6%
9	143	0.6%
Other values (1131)	17677	74.6%
(Missing)	3181	13.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	3	< 0.1%
3	158	0.7%
4	176	0.7%
5	152	0.6%
6	124	0.5%
7	234	1.0%
8	139	0.6%
9	143	0.6%
10	127	0.5%

Value	Count	Frequency (%)
1580	1	< 0.1%
1572	1	< 0.1%
1553	1	< 0.1%
1513	1	< 0.1%
1512	2	< 0.1%
1497	1	< 0.1%
1489	1	< 0.1%
1485	1	< 0.1%
1484	1	< 0.1%
1477	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	total_images	last_price	total_area	first_day_exposition	rooms	ceiling_height	floors_total	living_area	floor	is_apartment	studio	open_plan	kitchen_area	balcony	locality_name	airports_nearest	cityCenters_nearest	parks_around3000	parks_nearest	ponds_around3000	ponds_nearest	days_exposition
0	0	20	13000000.0	108.00	2019-03-07T00:00:00	3	2.70	16.0	51.00	8	NaN	False	False	25.00	NaN	Санкт-Петербург	18863.0	16028.0	1.0	482.0	2.0	755.0	NaN
1	1	7	3350000.0	40.40	2018-12-04T00:00:00	1	NaN	11.0	18.60	1	NaN	False	False	11.00	2.0	посёлок Шушары	12817.0	18603.0	0.0	NaN	0.0	NaN	81.0
2	2	10	5196000.0	56.00	2015-08-20T00:00:00	2	NaN	5.0	34.30	4	NaN	False	False	8.30	0.0	Санкт-Петербург	21741.0	13933.0	1.0	90.0	2.0	574.0	558.0
3	3	0	64900000.0	159.00	2015-07-24T00:00:00	3	NaN	14.0	NaN	9	NaN	False	False	NaN	0.0	Санкт-Петербург	28098.0	6800.0	2.0	84.0	3.0	234.0	424.0
4	4	2	10000000.0	100.00	2018-06-19T00:00:00	2	3.03	14.0	32.00	13	NaN	False	False	41.00	NaN	Санкт-Петербург	31856.0	8098.0	2.0	112.0	1.0	48.0	121.0
5	5	10	2890000.0	30.40	2018-09-10T00:00:00	1	NaN	12.0	14.40	5	NaN	False	False	9.10	NaN	городской посёлок Янино-1	NaN	NaN	NaN	NaN	NaN	NaN	55.0
6	6	6	3700000.0	37.30	2017-11-02T00:00:00	1	NaN	26.0	10.60	6	NaN	False	False	14.40	1.0	посёлок Парголово	52996.0	19143.0	0.0	NaN	0.0	NaN	155.0
7	7	5	7915000.0	71.60	2019-04-18T00:00:00	2	NaN	24.0	NaN	22	NaN	False	False	18.90	2.0	Санкт-Петербург	23982.0	11634.0	0.0	NaN	0.0	NaN	NaN
8	8	20	2900000.0	33.16	2018-05-23T00:00:00	1	NaN	27.0	15.43	26	NaN	False	False	8.81	NaN	посёлок Мурино	NaN	NaN	NaN	NaN	NaN	NaN	189.0
9	9	18	5400000.0	61.00	2017-02-26T00:00:00	3	2.50	9.0	43.60	7	NaN	False	False	6.50	2.0	Санкт-Петербург	50898.0	15008.0	0.0	NaN	0.0	NaN	289.0

Last rows

	Unnamed: 0	total_images	last_price	total_area	first_day_exposition	rooms	ceiling_height	floors_total	living_area	floor	is_apartment	studio	open_plan	kitchen_area	balcony	locality_name	airports_nearest	cityCenters_nearest	parks_around3000	parks_nearest	ponds_around3000	ponds_nearest	days_exposition
23689	23689	13	3550000.0	35.30	2018-02-28T00:00:00	1	2.86	15.0	16.3	4	NaN	False	False	9.10	2.0	Санкт-Петербург	17284.0	16081.0	1.0	353.0	2.0	652.0	29.0
23690	23690	3	5500000.0	52.00	2018-07-19T00:00:00	2	NaN	5.0	31.0	2	NaN	False	False	6.00	NaN	Санкт-Петербург	20151.0	6263.0	1.0	300.0	0.0	NaN	15.0
23691	23691	11	9470000.0	72.90	2016-10-13T00:00:00	2	2.75	25.0	40.3	7	NaN	False	False	10.60	1.0	Санкт-Петербург	19424.0	4489.0	0.0	NaN	1.0	806.0	519.0
23692	23692	2	1350000.0	30.00	2017-07-07T00:00:00	1	NaN	5.0	17.5	4	NaN	False	False	6.00	NaN	Тихвин	NaN	NaN	NaN	NaN	NaN	NaN	413.0
23693	23693	9	4600000.0	62.40	2016-08-05T00:00:00	3	2.60	9.0	40.0	8	NaN	False	False	8.00	0.0	Петергоф	45602.0	34104.0	1.0	352.0	1.0	675.0	239.0
23694	23694	9	9700000.0	133.81	2017-03-21T00:00:00	3	3.70	5.0	73.3	3	NaN	False	False	13.83	NaN	Санкт-Петербург	24665.0	4232.0	1.0	796.0	3.0	381.0	NaN
23695	23695	14	3100000.0	59.00	2018-01-15T00:00:00	3	NaN	5.0	38.0	4	NaN	False	False	8.50	NaN	Тосно	NaN	NaN	NaN	NaN	NaN	NaN	45.0
23696	23696	18	2500000.0	56.70	2018-02-11T00:00:00	2	NaN	3.0	29.7	1	NaN	False	False	NaN	NaN	село Рождествено	NaN	NaN	NaN	NaN	NaN	NaN	NaN
23697	23697	13	11475000.0	76.75	2017-03-28T00:00:00	2	3.00	17.0	NaN	12	NaN	False	False	23.30	2.0	Санкт-Петербург	39140.0	10364.0	2.0	173.0	3.0	196.0	602.0
23698	23698	4	1350000.0	32.30	2017-07-21T00:00:00	1	2.50	5.0	12.3	1	NaN	False	False	9.00	NaN	поселок Новый Учхоз	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows